95 research outputs found

    Carotid atherosclerotic plaque segmentation in multi-weighted MRI using a two-stage neural network: Advantages of training with high-resolution imaging and histology

    Get PDF
    INTRODUCTION: A reliable and automated method to segment and classify carotid artery atherosclerotic plaque components is needed to efficiently analyze multi-weighted magnetic resonance (MR) images to allow their integration into patient risk assessment for ischemic stroke. Certain plaque components such as lipid-rich necrotic core (LRNC) with hemorrhage suggest a greater likelihood of plaque rupture and stroke event. Assessment for presence and extent of LRNC could assist in directing treatment with impact upon patient outcomes. METHODS: To address the need to accurately determine the presence and extent of plaque components on carotid plaque MRI, we proposed a two-staged deep-learning-based approach that consists of a convolutional neural network (CNN), followed by a Bayesian neural network (BNN). The rationale for the two-stage network approach is to account for the class imbalance of vessel wall and background by providing an attention mask to the BNN. A unique feature of the network training was to use ground truth defined by both high-resolution RESULTS: Our results show that the proposed method yielded accurate segmentation of carotid atherosclerotic plaque and outperforms not only manual segmentation by trained readers, who did not have access to the ex vivo or histopathology data, but also three state-of-the-art deep-learning-based segmentation methods. Further, the proposed approach outperformed a strategy where the ground truth was generated without access to the high resolution ex vivo MRI and histopathology. The accurate performance of this method was also observed in the additional 23-patient dataset from a different scanner. CONCLUSION: In conclusion, the proposed method provides a mechanism to perform accurate segmentation of the carotid atherosclerotic plaque in multi-weighted MRI. Further, our study shows the advantages of using high-resolution imaging and histology to define ground truth for training deep-learning-based segmentation methods

    Mechanisms of Impaired Exercise Capacity in Short Duration Experimental Hyperthyroidism

    Get PDF
    Abstract To investigate the mechanism of reduced exercise tolerance in hyperthyroidism, we characterized cardiovascular function and determinants of skeletal muscle metabolism in 18 healthy subjects aged 26Ā±1 yr (meanĀ±SE) before and after 2 wk of daily ingestion of 100 pg of triiodothyronine (T3). Resting oxygen uptake, heart rate, and cardiac output increased and heart rate and cardiac output at the same submaximal exercise intensity were higher in the hyperthyroid state (P < 0.05). However, maximal oxygen uptake decreased after T3 administration (3.08Ā±0.17 vs. 2.94Ā±0.19 l/min; P < 0.001) despite increased heart rate and cardiac output at maximal exercise (P < 0.05). Plasma lactic acid concentration at an equivalent submaximal exercise intensity was elevated 25% (P < 0.01) and the arteriovenous oxygen difference at maximal effort was reduced (P < 0.05) in the hyperthyroid state. These effects were associated with a 21-37% decline in activities of oxidative (P < 0.001) and glycolytic (P < 0.05) enzymes in skeletal muscle and a 15% decrease in type 11A muscle fiber cross-sectional area (P < 0.05). Lean body mass was reduced (P < 0.001) and the rates of whole body leucine oxidation and protein breakdown were enhanced (P < 0.05). Thus, exercise tolerance is impaired in short duration hyperthyroidism because of decreased skeletal muscle mass and oxidative capacity related to accelerated protein catabolism but cardiac pump function is not reduced. (J. Clin

    Mechanistic insights into arrhythmogenic right ventricular cardiomyopathy caused by desmocollin-2 mutations

    Get PDF
    Aims: Recent immunohistochemical studies observed the loss of plakoglobin (PG) from the intercalated disc (ID) as a hallmark of arrhythmogenic right ventricular cardiomyopathy (ARVC), suggesting a final common pathway for this disease. However, the underlying molecular processes are poorly understood. Methods and results: We have identified novel mutations in the desmosomal cadherin desmocollin 2 (DSC2 R203C, L229X, T275M, and G371fsX378). The two missense mutations (DSC2 R203C and T275M) have been functionally characterized, together with a previously reported frameshift variant (DSC2 A897fsX900), to examine their pathogenic potential towards PG's functions at the ID. The three mutant proteins were transiently expressed in various cellular systems and assayed for expression, processing, localization, and binding to other desmosomal components in comparison to wild-type DSC2a protein. The two missense mutations showed defects in proteolytic cleavage, a process which is required for the functional activation of mature cadherins. In both cases, this is thought to cause a reduction of functional DSC2 at the desmosomes in cardiac cells. In contrast, the frameshift variant was incorporated into cardiac desmosomes; however, it showed reduced binding to PG. Conclusion: Despite different modes of action, for all three variants, the reduced ability to provide a ligand for PG at the desmosomes was observed. This is in agreement with the reduced intensity of PG at these structures observed in ARVC patients

    Toward a Unified Concept of Vascular Smooth Muscle Response to Injury

    No full text

    Arrhythmogenic Cardiomyopathy

    No full text

    Genomic pathology: a disruptive innovation

    No full text

    Structural Heart Disease, SCN5A

    No full text

    Pathological Correlation After Cardiac Surgery

    No full text
    • ā€¦
    corecore